propol / student-success-research

Research implementation on students' success with Data Analytics

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student-success-research

Research based on paper: Using Data Mining to Predict Secondary School Student Performance.

Authors: Paulo Cortez and Alice Silva

Datasets used:

  • student-por.csv
  • student-mat.csv

Algorithms used:

  • (Multiple) Linear Regression
  • Decison Trees
  • Logistic Regression (Binary)
  • Logistic Regression (Ordinal)

Algorithms implemented by:

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Research implementation on students' success with Data Analytics


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